






"""simple docstring"""
import os
import zipfile

import pytest

from datasets.utils.extract import (
    BzipaExtractor,
    Extractor,
    GzipExtractor,
    LzaExtractor,
    SevenZipExtractor,
    TarExtractor,
    XzExtractor,
    ZipExtractor,
    ZstdExtractor,
)

from .utils import require_lza, require_pyazr, require_zstandard


@pytest.mark.parametrize(
    'compression_format, is_archive' ,     [
        ('7z', True),
        ('bz2', False),
        ('gzip', False),
        ('lz4', False),
        ('tar', True),
        ('xz', False),
        ('zip', True),
        ('zstd', False),
    ] ,     )
def 							A						(				__snake_case: int ,     __snake_case: Union[str, Any] ,     __snake_case: Optional[int] ,     __snake_case: Tuple ,     __snake_case: Dict ,     __snake_case: Union[str, Any] ,     __snake_case: Any ,     __snake_case: List[Any] ,     __snake_case: Any ,     __snake_case: List[Any] ,     __snake_case: Any ,     __snake_case: int ,     )    ->		Optional[Any]:

       """simple docstring"""





       __magic_name__      				=    {
           '7z': (seven_zip_file, SevenZipExtractor),
           'bz2': (bza_file, BzipaExtractor),
           'gzip': (gz_file, GzipExtractor),
           'lz4': (lza_file, LzaExtractor),
           'tar': (tar_file, TarExtractor),
           'xz': (xz_file, XzExtractor),
           'zip': (zip_file, ZipExtractor),
           'zstd': (zstd_file, ZstdExtractor),
       }
       __magic_name__				,  __magic_name__      				=    input_paths_and_base_extractors[compression_format]
       if input_path is None:
              __magic_name__      				=    F"""for '{compression_format}' compression_format, """
              if compression_format == "7z":
                     reason += require_pyazr.kwargs["reason"]
              elif compression_format == "lz4":
                     reason += require_lza.kwargs["reason"]
              elif compression_format == "zstd":
                     reason += require_zstandard.kwargs["reason"]
              pytest.skip(__snake_case  )
       assert base_extractor.is_extractable(__snake_case  )
       __magic_name__      				=    tmp_path / ('extracted' if is_archive else 'extracted.txt')
       base_extractor.extract(__snake_case ,     __snake_case  )
       if is_archive:
              assert output_path.is_dir()
              for file_path in output_path.iterdir():
                     assert file_path.name == text_file.name
                     __magic_name__      				=    file_path.read_text(encoding='utf-8'  )
       else:
              __magic_name__      				=    output_path.read_text(encoding='utf-8'  )
       __magic_name__      				=    text_file.read_text(encoding='utf-8'  )
       assert extracted_file_content == expected_file_content


@pytest.mark.parametrize(
    'compression_format, is_archive' ,     [
        ('7z', True),
        ('bz2', False),
        ('gzip', False),
        ('lz4', False),
        ('tar', True),
        ('xz', False),
        ('zip', True),
        ('zstd', False),
    ] ,     )
def 							A						(				__snake_case: List[Any] ,     __snake_case: Optional[Any] ,     __snake_case: List[Any] ,     __snake_case: Optional[Any] ,     __snake_case: int ,     __snake_case: Dict ,     __snake_case: Optional[Any] ,     __snake_case: Dict ,     __snake_case: List[str] ,     __snake_case: Any ,     __snake_case: str ,     __snake_case: Dict ,     )    ->		List[str]:

       """simple docstring"""





       __magic_name__      				=    {
           '7z': seven_zip_file,
           'bz2': bza_file,
           'gzip': gz_file,
           'lz4': lza_file,
           'tar': tar_file,
           'xz': xz_file,
           'zip': zip_file,
           'zstd': zstd_file,
       }
       __magic_name__      				=    input_paths[compression_format]
       if input_path is None:
              __magic_name__      				=    F"""for '{compression_format}' compression_format, """
              if compression_format == "7z":
                     reason += require_pyazr.kwargs["reason"]
              elif compression_format == "lz4":
                     reason += require_lza.kwargs["reason"]
              elif compression_format == "zstd":
                     reason += require_zstandard.kwargs["reason"]
              pytest.skip(__snake_case  )
       __magic_name__      				=    Extractor.infer_extractor_format(__snake_case  )
       assert extractor_format is not None
       __magic_name__      				=    tmp_path / ('extracted' if is_archive else 'extracted.txt')
       Extractor.extract(__snake_case ,     __snake_case ,     __snake_case  )
       if is_archive:
              assert output_path.is_dir()
              for file_path in output_path.iterdir():
                     assert file_path.name == text_file.name
                     __magic_name__      				=    file_path.read_text(encoding='utf-8'  )
       else:
              __magic_name__      				=    output_path.read_text(encoding='utf-8'  )
       __magic_name__      				=    text_file.read_text(encoding='utf-8'  )
       assert extracted_file_content == expected_file_content


@pytest.fixture
def 							A						(				__snake_case: List[Any] ,     __snake_case: List[str]  )    ->		Union[str, Any]:

       """simple docstring"""





       import tarfile

       __magic_name__      				=    tmp_path / 'data_dot_dot'
       directory.mkdir()
       __magic_name__      				=    directory / 'tar_file_with_dot_dot.tar'
       with tarfile.TarFile(__snake_case ,     'w'  ) as f:
              f.add(__snake_case ,     arcname=os.path.join('..' ,     text_file.name  )  )
       return path


@pytest.fixture
def 							A						(				__snake_case: Union[str, Any]  )    ->		List[Any]:

       """simple docstring"""





       import tarfile

       __magic_name__      				=    tmp_path / 'data_sym_link'
       directory.mkdir()
       __magic_name__      				=    directory / 'tar_file_with_sym_link.tar'
       os.symlink('..' ,     directory / 'subdir' ,     target_is_directory=__snake_case  )
       with tarfile.TarFile(__snake_case ,     'w'  ) as f:
              f.add(str(directory / 'subdir'  ) ,     arcname='subdir'  )  # str required by os.readlink on Windows and Python < 3.8
       return path


@pytest.mark.parametrize(
    'insecure_tar_file, error_log' ,     [('tar_file_with_dot_dot', 'illegal path'), ('tar_file_with_sym_link', 'Symlink')] ,     )
def 							A						(				__snake_case: List[str] ,     __snake_case: str ,     __snake_case: List[str] ,     __snake_case: List[str] ,     __snake_case: Union[str, Any] ,     __snake_case: Dict  )    ->		List[str]:

       """simple docstring"""





       __magic_name__      				=    {
           'tar_file_with_dot_dot': tar_file_with_dot_dot,
           'tar_file_with_sym_link': tar_file_with_sym_link,
       }
       __magic_name__      				=    insecure_tar_files[insecure_tar_file]
       __magic_name__      				=    tmp_path / 'extracted'
       TarExtractor.extract(__snake_case ,     __snake_case  )
       assert caplog.text
       for record in caplog.records:
              assert record.levelname == "ERROR"
              assert error_log in record.msg






def 							A						(				__snake_case: List[str]  )    ->		Dict:

       """simple docstring"""





       __magic_name__      				=    tmpdir / 'not_a_zip_file'
       # From: https://github.com/python/cpython/pull/5053
       __magic_name__      				=    (
           b'\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x01\x00\x00'
           b'\x00\x02\x08\x06\x00\x00\x00\x99\x81\xb6\'\x00\x00\x00\x15I'
           b'DATx\x01\x01\n\x00\xf5\xff\x00PK\x05\x06\x00PK\x06\x06\x07'
           b'\xac\x01N\xc6|a\r\x00\x00\x00\x00IEND\xaeB`\x82'
       )
       with not_a_zip_file.open('wb'  ) as f:
              f.write(__snake_case  )
       assert zipfile.is_zipfile(str(__snake_case  )  )  # is a false positive for `zipfile`
       assert not ZipExtractor.is_extractable(__snake_case  )  # but we're right







"""simple docstring"""
import argparse
import json
from typing import List

from ltp import LTP

from transformers.models.bert.tokenization_bert import BertTokenizer


def 							A						(				__snake_case: Tuple  )    ->		Optional[Any]:

       """simple docstring"""





       if (
           (cp >= 0x4_E00 and cp <= 0x9_FFF)
           or (cp >= 0x3_400 and cp <= 0x4_DBF)  #
           or (cp >= 0x20_000 and cp <= 0x2A_6DF)  #
           or (cp >= 0x2A_700 and cp <= 0x2B_73F)  #
           or (cp >= 0x2B_740 and cp <= 0x2B_81F)  #
           or (cp >= 0x2B_820 and cp <= 0x2C_EAF)  #
           or (cp >= 0xF_900 and cp <= 0xF_AFF)
           or (cp >= 0x2F_800 and cp <= 0x2F_A1F)  #
       ):  #
              return True

       return False


def 							A						(				__snake_case: str  )    ->		Optional[Any]:

       """simple docstring"""





       for char in word:
              __magic_name__      				=    ord(__snake_case  )
              if not _is_chinese_char(__snake_case  ):
                     return 0
       return 1


def 							A						(				__snake_case: List[str]  )    ->		List[str]:

       """simple docstring"""





       __magic_name__      				=    set()

       for token in tokens:
              __magic_name__      				=    len(__snake_case  ) > 1 and is_chinese(__snake_case  )
              if chinese_word:
                     word_set.add(__snake_case  )
       __magic_name__      				=    list(__snake_case  )
       return word_list


def 							A						(				__snake_case: List[str] ,     __snake_case: set()  )    ->		str:

       """simple docstring"""





       if not chinese_word_set:
              return bert_tokens
       __magic_name__      				=    max([len(__snake_case  ) for w in chinese_word_set]  )

       __magic_name__      				=    bert_tokens
       __magic_name__				,  __magic_name__      				=    0, len(__snake_case  )
       while start < end:
              __magic_name__      				=    True
              if is_chinese(bert_word[start]  ):
                     __magic_name__      				=    min(end - start ,     __snake_case  )
                     for i in range(__snake_case ,     1 ,     -1  ):
                            __magic_name__      				=    ''.join(bert_word[start : start + i]  )
                            if whole_word in chinese_word_set:
                                   for j in range(start + 1 ,     start + i  ):
                                          __magic_name__      				=    '##' + bert_word[j]
                                   __magic_name__      				=    start + i
                                   __magic_name__      				=    False
                                   break
              if single_word:
                     start += 1
       return bert_word


def 							A						(				__snake_case: List[str] ,     __snake_case: LTP ,     __snake_case: BertTokenizer  )    ->		List[Any]:

       """simple docstring"""





       __magic_name__      				=    []

       for i in range(0 ,     len(__snake_case  ) ,     1_0_0  ):
              __magic_name__      				=    ltp_tokenizer.pipeline(lines[i : i + 1_0_0] ,     tasks=['cws']  ).cws
              __magic_name__      				=    [get_chinese_word(__snake_case  ) for r in res]
              ltp_res.extend(__snake_case  )
       assert len(__snake_case  ) == len(__snake_case  )

       __magic_name__      				=    []
       for i in range(0 ,     len(__snake_case  ) ,     1_0_0  ):
              __magic_name__      				=    bert_tokenizer(lines[i : i + 1_0_0] ,     add_special_tokens=__snake_case ,     truncation=__snake_case ,     max_length=5_1_2  )
              bert_res.extend(res['input_ids']  )
       assert len(__snake_case  ) == len(__snake_case  )

       __magic_name__      				=    []
       for input_ids, chinese_word in zip(__snake_case ,     __snake_case  ):
              __magic_name__      				=    []
              for id in input_ids:
                     __magic_name__      				=    bert_tokenizer._convert_id_to_token(__snake_case  )
                     input_tokens.append(__snake_case  )
              __magic_name__      				=    add_sub_symbol(__snake_case ,     __snake_case  )
              __magic_name__      				=    []
              # We only save pos of chinese subwords start with ##, which mean is part of a whole word.
              for i, token in enumerate(__snake_case  ):
                     if token[:2] == "##":
                            __magic_name__      				=    token[2:]
                            # save chinese tokens' pos
                            if len(__snake_case  ) == 1 and _is_chinese_char(ord(__snake_case  )  ):
                                   ref_id.append(__snake_case  )
              ref_ids.append(__snake_case  )

       assert len(__snake_case  ) == len(__snake_case  )

       return ref_ids


def 							A						(				__snake_case: Optional[Any]  )    ->		List[str]:

       """simple docstring"""





       with open(args.file_name ,     'r' ,     encoding='utf-8'  ) as f:
              __magic_name__      				=    f.readlines()
       __magic_name__      				=    [line.strip() for line in data if len(__snake_case  ) > 0 and not line.isspace()]  # avoid delimiter like '\u2029'
       __magic_name__      				=    LTP(args.ltp  )  # faster in GPU device
       __magic_name__      				=    BertTokenizer.from_pretrained(args.bert  )

       __magic_name__      				=    prepare_ref(__snake_case ,     __snake_case ,     __snake_case  )

       with open(args.save_path ,     'w' ,     encoding='utf-8'  ) as f:
              __magic_name__      				=    [json.dumps(__snake_case  ) + '\n' for ref in ref_ids]
              f.writelines(__snake_case  )


if __name__ == "__main__":
 snake_case : Tuple     		=		argparse.ArgumentParser(description="""prepare_chinese_ref""")
 parser.add_argument(
     """--file_name""",
     required=False,
     type=str,
     default="""./resources/chinese-demo.txt""",
     help="""file need process, same as training data in lm""",
 )
 parser.add_argument(
     """--ltp""",
     required=False,
     type=str,
     default="""./resources/ltp""",
     help="""resources for LTP tokenizer, usually a path""",
 )
 parser.add_argument(
     """--bert""",
     required=False,
     type=str,
     default="""./resources/robert""",
     help="""resources for Bert tokenizer""",
 )
 parser.add_argument(
     """--save_path""",
     required=False,
     type=str,
     default="""./resources/ref.txt""",
     help="""path to save res""",
 )

 snake_case : Any     		=		parser.parse_args()
 main(args)